package com.atguigu.gulimail.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.alibaba.nacos.client.utils.StringUtils;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimail.search.config.ElasticSearchConfig;
import com.atguigu.gulimail.search.constant.EsConstant;
import com.atguigu.gulimail.search.feign.ProductFeignService;
import com.atguigu.gulimail.search.service.MallSearchService;
import com.atguigu.gulimail.search.vo.AttrResponseVo;
import com.atguigu.gulimail.search.vo.BrandVo;
import com.atguigu.gulimail.search.vo.SearchParam;
import com.atguigu.gulimail.search.vo.SearchResult;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.w3c.dom.Attr;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {
    @Autowired
    RestHighLevelClient restHighLevelClient;
    @Autowired
    ProductFeignService productFeignService;
    //去es中搜索数据
    @Override
    public SearchResult search(SearchParam param) {
        SearchResult result = null;
        //1.动态构建出查询需要的DSL语句
        //1.准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            //2.执行检索请求
            SearchResponse response = restHighLevelClient.search(searchRequest, ElasticSearchConfig.COMMON_OPTIONS);
            //3.分析相应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    //构建结果数据
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        //1、返回的所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel skuEsModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    skuEsModel.setSkuTitle(string);
                }
                esModels.add(skuEsModel);
            }
        }
        result.setProducts(esModels);
        //2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            //2、得到属性的名字
            String attr_name = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //3、得到属性的值
            List<String> values = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attr_name);
            attrVo.setAttrValue(values);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        //3、当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1、得到品牌的Id
            long brandId = bucket.getKeyAsNumber().longValue();
            //2、得到品牌的名字
            String brand_name = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();

            //3、得到品牌的图片
            String brand_img = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brand_name);
            brandVo.setBrandImg(brand_img);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //4、当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            //得到分类Id
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            catalogVo.setCatalogId(bucket.getKeyAsNumber().longValue());
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            for (Terms.Bucket nameBucket : catalog_name_agg.getBuckets()) {
                String keyAsString = nameBucket.getKeyAsString();
                catalogVo.setCatalogName(keyAsString);
            }
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //5、分页信息-页码
        result.setPageNum(param.getPageNum());
        //5、分页信息-总记录数
        Long total = hits.getTotalHits().value;
        result.setTotal(total);
        //5、分页信息-总页码
        int totalPages = total % EsConstant.PRODUCT_PAGESIZE == 0l ?
                (int) (total % EsConstant.PRODUCT_PAGESIZE) : (int) (total % EsConstant.PRODUCT_PAGESIZE + 1);
        result.setTotalPages(totalPages);
        List<Integer> list = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            list.add(i);
        }
        result.setPageNavs(list);
        //6.构建面包屑导航功能
        if (param.getAttrs()!=null&&param.getAttrs().size()>0) {
            List<SearchResult.NavVo> navVos = param.getAttrs().stream().map(attr -> {
                //1.分析每个attrs闯过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R info = productFeignService.info(Long.getLong(s[0]));
                result.getAttrIds().add(Long.getLong(s[0]));
                if (info.getCode() == 0) {
                    AttrResponseVo data = info.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }
                //2.取消了这个面包屑以后，我们要跳转到哪个地方，将请求地址的url里面的当前属性置空
                //拿到所有的查询条件，去掉当前。
                String replace = replaceQueryString(param, attr,"attrs");
                navVo.setLink("http://localhost:12000/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(navVos);
        }
        //品牌,分类
        if (param.getBrandId()!=null&&param.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //todo 远程查询所有品牌
            R r = productFeignService.brandInfo(param.getBrandId());
            if (r.getCode()==0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer stringBuffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    stringBuffer.append(brandVo.getBrandName());
                    replace =  replaceQueryString(param,brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(stringBuffer.toString());
                navVo.setLink("http://localhost:12000/list.html?" + replace);
            }
            navs.add(navVo);

        }
            return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode.replace("+","%20");//浏览器对空格编码和java对空格编码的差异，所以需要替换
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"=" + encode, "");
        return replace;
    }

    /*准备检索请求
     *#模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存），排序，分页，高亮，聚合分析
     * @Return
     * */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /*
         * 查询:，过滤（按照属性，分类，品牌，价格区间，库存）
         * */
        //1.构建bool——query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1、must-模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2、filter  按照三级分类Id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2、filter  按照品牌Id查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2、filter  按照所有指定的属性查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];//检索属性的id
                String[] attrValues = s[1].split(":");//这个属性的检索用的值
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }
        //1.2、filter  按照库存查询
        boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 0));
        sourceBuilder.query(boolQuery);
        //1.2、filter  按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //1_500/ _500/ 500_
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        sourceBuilder.query(boolQuery);

        /*
         * 排序，分页，高亮
         * */
        //2.1、排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            //sort=hotScore_asc/desc
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2、分页
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //2.3、高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            highlightBuilder.field("skuTitle");
            highlightBuilder.preTags("<b style='color:red'>");
            highlightBuilder.postTags("</b>");
            sourceBuilder.highlighter(highlightBuilder);
        }
        /*
         * 聚合分析
         * */
        //1.品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合的自聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        //TODO 1、聚合brand
        sourceBuilder.aggregation(brand_agg);

        //2.分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalog_name").size(1));
        //TODO 2、聚合catalog
        sourceBuilder.aggregation(catalog_agg);

        //3.属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        //TODO 3、聚合attr
        sourceBuilder.aggregation(attr_agg);
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        System.out.println(sourceBuilder.toString());

        return searchRequest;
    }
}
